Importing MAGE-ML format microarray data into BioConductor | Zendy

Steffen Durinck | Zendy; Joke Allemeersch | Zendy; Vincent J. Carey | Zendy; Yves Moreau | Zendy; Bart De Moor | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Importing MAGE-ML format microarray data into BioConductor

Author(s) -

Steffen Durinck,

Joke Allemeersch,

Vincent J. Carey,

Yves Moreau,

Bart De Moor

Publication year - 2004

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bth396

Subject(s) - bioconductor , computer science , microarray databases , microarray analysis techniques , data mining , computational biology , biology , gene , genetics , gene expression

The microarray gene expression markup language (MAGE-ML) is a widely used XML (eXtensible Markup Language) standard for describing and exchanging information about microarray experiments. It can describe microarray designs, microarray experiment designs, gene expression data and data analysis results. We describe RMAGEML, a new Bioconductor package that provides a link between cDNA microarray data stored in MAGE-ML format and the Bioconductor framework for preprocessing, visualization and analysis of microarray experiments.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research